从 environment.yml 文件创建环境 tqdm 访问被拒绝

Creating an environment from an environment.yml file tqdm access is denied

我正在尝试在管理员命令提示符下通过 运行 conda env create -f environment.yml 从 environment.yml 文件创建环境。 environment.yml 文件如下:

name: pytorch0.4
channels:
  - pytorch
  - defaults
dependencies:
  - python=3.6.5
  - pytorch=0.4.1
  - torchvision
  - numpy
  - nltk
  - ipython
  - docopt
  - pip
  - pip:
    - tqdm

执行运行命令后,出现了这个错误:

Collecting package metadata (repodata.json): done
Solving environment: \
Warning: 2 possible package resolutions (only showing differing packages):
  - defaults/noarch::parso-0.8.1-pyhd3eb1b0_0, defaults/win-64::jedi-0.17.0-py36_0
  - defaults/noarch::parso-0.7.0-py_0, defaults/win-64::jedi-0.17.2-py36haa95532done
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
Installing pip dependencies: - Ran pip subprocess with arguments:
['C:\Users\PC\anaconda3\envs\pytorch0.4\python.exe', '-m', 'pip', 'install', '-U', '-r', 'C:\Users\Assignment\A2\a2\condaenv.1tcu2wl4.requirements.txt']
Pip subprocess output:
Requirement already satisfied: tqdm in c:\users\pc\anaconda3\envs\pytorch0.4\lib\site-packages (from -r C:\Users\Assignment\A2\a2\condaenv.1tcu2wl4.requirements.txt (line 1)) (4.56.0)
Collecting tqdm
  Using cached tqdm-4.58.0-py2.py3-none-any.whl (73 kB)
Installing collected packages: tqdm
  Attempting uninstall: tqdm
    Found existing installation: tqdm 4.56.0
    Uninstalling tqdm-4.56.0:
      Successfully uninstalled tqdm-4.56.0

Pip subprocess error:
ERROR: Could not install packages due to an OSError: [WinError 5] Access is denied: 'C:\Users\PC\AppData\Local\Temp\pip-uninstall-yeq37y9s\tqdm.exe'
Consider using the `--user` option or check the permissions.


failed

CondaEnvException: Pip failed

我认为我的环境创建不正确,因为我无法在环境中使用依赖项或激活它。我还尝试通过 运行 pip install tqdm --user 安装 tqdm,它说 Requirement already satisfied: tqdm in c:\users\pc\appdata\roaming\python\python38\site-packages (4.58.0)。那我该如何启动那个环境呢?

Conda 应该能够在不求助于 pip 的情况下解决这个问题,因为 tdqmdefaults 频道上可用。此外,nltk 具有 tdqm 作为依赖项,因此 YAML 可以简化为

文件:pytorch0.4.yaml

name: pytorch0.4
channels:
  - pytorch
  - defaults
dependencies:
  - python=3.6.5
  - pytorch=0.4.1
  - torchvision
  - numpy
  - nltk
  - ipython
  - docopt
  - pip

此外,虽然在 Conda 环境中使用 pip 是有效的,但 it comes with some caveats。其中之一是永远不要使用 --user 标志,因为这最终会将包放置在环境 site-packages 之外,并可能导致违反 Conda 如此热衷于建立的环境隔离。